GB2598758B - Task performing agent systems and methods - Google Patents

Task performing agent systems and methods Download PDF

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Publication number
GB2598758B
GB2598758B GB2014285.7A GB202014285A GB2598758B GB 2598758 B GB2598758 B GB 2598758B GB 202014285 A GB202014285 A GB 202014285A GB 2598758 B GB2598758 B GB 2598758B
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GB
United Kingdom
Prior art keywords
methods
agent systems
task performing
performing agent
task
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
GB2014285.7A
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GB202014285D0 (en
GB2598758A (en
Inventor
Morad Steven
Mecca Roberto
Poudel Rudra
Liwicki Stephan
Cipolla Roberto
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Toshiba Corp
Original Assignee
Toshiba Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Toshiba Corp filed Critical Toshiba Corp
Priority to GB2014285.7A priority Critical patent/GB2598758B/en
Publication of GB202014285D0 publication Critical patent/GB202014285D0/en
Priority to US17/183,669 priority patent/US20220075383A1/en
Priority to JP2021042252A priority patent/JP7225292B2/en
Publication of GB2598758A publication Critical patent/GB2598758A/en
Application granted granted Critical
Publication of GB2598758B publication Critical patent/GB2598758B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0221—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving a learning process
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
    • B60W60/005—Handover processes
    • B60W60/0059—Estimation of the risk associated with autonomous or manual driving, e.g. situation too complex, sensor failure or driver incapacity
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001—Planning or execution of driving tasks
    • B60W60/0011—Planning or execution of driving tasks involving control alternatives for a single driving scenario, e.g. planning several paths to avoid obstacles
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0088—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0214—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0001—Details of the control system
    • B60W2050/0019—Control system elements or transfer functions
    • B60W2050/0028—Mathematical models, e.g. for simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
GB2014285.7A 2020-09-10 2020-09-10 Task performing agent systems and methods Active GB2598758B (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
GB2014285.7A GB2598758B (en) 2020-09-10 2020-09-10 Task performing agent systems and methods
US17/183,669 US20220075383A1 (en) 2020-09-10 2021-02-24 Task performing agent systems and methods
JP2021042252A JP7225292B2 (en) 2020-09-10 2021-03-16 Task execution agent system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB2014285.7A GB2598758B (en) 2020-09-10 2020-09-10 Task performing agent systems and methods

Publications (3)

Publication Number Publication Date
GB202014285D0 GB202014285D0 (en) 2020-10-28
GB2598758A GB2598758A (en) 2022-03-16
GB2598758B true GB2598758B (en) 2023-03-29

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Country Status (3)

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US (1) US20220075383A1 (en)
JP (1) JP7225292B2 (en)
GB (1) GB2598758B (en)

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* Cited by examiner, † Cited by third party
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US11842530B2 (en) * 2020-03-05 2023-12-12 Uatc, Llc Systems and methods for latent distribution modeling for scene-consistent motion forecasting
US11868428B2 (en) * 2020-07-21 2024-01-09 Samsung Electronics Co., Ltd. Apparatus and method with compressed neural network computation
CN115145285A (en) * 2022-07-29 2022-10-04 陕西科技大学 Multi-point goods taking and delivering optimal path planning method and system for storage AGV
CN116739077B (en) * 2023-08-16 2023-10-31 西南交通大学 Multi-agent deep reinforcement learning method and device based on course learning

Citations (6)

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US20190339702A1 (en) * 2018-05-01 2019-11-07 Honda Motor Co., Ltd. Systems and methods for generating instructions for navigating intersections with autonomous vehicles
CN110991095A (en) * 2020-03-05 2020-04-10 北京三快在线科技有限公司 Training method and device for vehicle driving decision model
WO2020079074A2 (en) * 2018-10-16 2020-04-23 Five AI Limited Autonomous vehicle planning
WO2020113187A1 (en) * 2018-11-30 2020-06-04 Sanjay Rao Motion and object predictability system for autonomous vehicles
EP3667556A1 (en) * 2018-12-12 2020-06-17 Visteon Global Technologies, Inc. Autonomous lane change
US20200239024A1 (en) * 2019-01-25 2020-07-30 Uatc, Llc Autonomous vehicle routing with roadway element impact

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WO2017151926A1 (en) * 2016-03-03 2017-09-08 Google Inc. Deep machine learning methods and apparatus for robotic grasping
JP6618395B2 (en) * 2016-03-18 2019-12-11 Kddi株式会社 Apparatus, program, and method for predicting position of survey object by action value
CN110663073B (en) * 2017-06-02 2022-02-11 本田技研工业株式会社 Policy generation device and vehicle
KR20180134230A (en) * 2017-06-08 2018-12-18 삼성전자주식회사 Cleaning robot and controlling method of thereof
JP7341652B2 (en) * 2018-01-12 2023-09-11 キヤノン株式会社 Information processing device, information processing method, program, and system
JP6841852B2 (en) * 2018-04-17 2021-03-10 ファナック株式会社 Control device and control method
KR102577785B1 (en) * 2018-09-20 2023-09-13 삼성전자주식회사 Cleaning robot and Method of performing task thereof
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WO2020136770A1 (en) * 2018-12-26 2020-07-02 三菱電機株式会社 Mobile object control device, mobile object control learning device, and mobile object control method
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Patent Citations (6)

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US20190339702A1 (en) * 2018-05-01 2019-11-07 Honda Motor Co., Ltd. Systems and methods for generating instructions for navigating intersections with autonomous vehicles
WO2020079074A2 (en) * 2018-10-16 2020-04-23 Five AI Limited Autonomous vehicle planning
WO2020113187A1 (en) * 2018-11-30 2020-06-04 Sanjay Rao Motion and object predictability system for autonomous vehicles
EP3667556A1 (en) * 2018-12-12 2020-06-17 Visteon Global Technologies, Inc. Autonomous lane change
US20200239024A1 (en) * 2019-01-25 2020-07-30 Uatc, Llc Autonomous vehicle routing with roadway element impact
CN110991095A (en) * 2020-03-05 2020-04-10 北京三快在线科技有限公司 Training method and device for vehicle driving decision model

Also Published As

Publication number Publication date
GB202014285D0 (en) 2020-10-28
GB2598758A (en) 2022-03-16
JP7225292B2 (en) 2023-02-20
US20220075383A1 (en) 2022-03-10
JP2022046402A (en) 2022-03-23

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